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CRUISEResearchGroup
/
AnyMo

Feature Extraction
Transformers
Safetensors
English
anymo
imu
wearable-sensing
human-activity-recognition
multimodal
motion-language
retrieval
captioning
custom_code
Model card Files Files and versions
xet
Community

Instructions to use CRUISEResearchGroup/AnyMo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use CRUISEResearchGroup/AnyMo with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="CRUISEResearchGroup/AnyMo", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("CRUISEResearchGroup/AnyMo", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
AnyMo / anymo_encoder
12.4 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
Breezelled's picture
Breezelled
Release AnyMo model and raw-IMU pipeline
5261696 verified 5 days ago
  • config.json
    62 Bytes
    Release AnyMo model and raw-IMU pipeline 5 days ago
  • model.safetensors
    12.4 MB
    xet
    Release AnyMo model and raw-IMU pipeline 5 days ago